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Table 2 Study characteristics of published cohort studies of total fluid intake and bladder cancer risk

From: Relationship between bladder cancer and total fluid intake: a meta-analysis of epidemiological evidence

References, year of publication

Country

Sex

Number of participants/cases

Total fluid consumption

Study quality

Effect estimates

Adjustment factors

Observations

Zhou et al. 2014 [34]

USA

F

160,041/427

The highest vs. lowest quartile

7

0.83 (0.61-1.12)

Age in years, pack-years of smoking (5 categories), current smoking status (yes vs no), consumption of bacon (3 categories), energy intake (in quartiles), and intake of fruit and vegetables (in quartiles)

Water and specific beverages

Zhou et al. 2012 [35]

USA

F/M

924,221/823

>2,531 vs. < 1,290 ml/day

7

1.02 (0.79-1.32)

Geographic region, age, pack-years of smoking, current smoking status, energy intake, intake of meat, and intake of fruits and vegetables

Water, milk, soda, coffee, fruit juice

Ros et al. 2011 [36]

European

F/M

233,236/513

F: >2046 vs. <1,438 ml/day

8

1.12 (0.86-1.45)

Age at entry, sex and centre and adjusted for smoking status, duration of smoking, lifetime intensity of smoking, energy intake from fat and nonfat sources

Alcoholic beverages, milk and other dairy beverages, coffee, tea, herbal tea, water, fruit and vegetable juices, and soft drinks

F: 1.15 (0.73-1.81)

M: >2,425 vs. <1,735 ml/day

M: 1.09 (0.79-1.5)

Zeegers et al. 2001 [37]

Netherlands

F/M

120,852/569

The highest vs. lowest quintile

7

0.91 (0.65-1.29)

Age, sex, number of cigarettes/day, years of cigarette smoking, coffee consumption, and tea consumption

Water, milk, juice, soda and lemonade, alcoholic beverages, coffee, and tea

  1. F, female; M, male.